{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/menevisc/Dropbox/Sanctions Removal Revisions_FPA/data for R&R/Cilizoglu_FPA_logfile.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}23 Sep 2022, 10:40:51
{txt}
{com}. 
. *Table 2: Probit: Sanctions Removal (Please note that Table 2 omits the temporal controls, and Table S1 in Appendix B
. *presents the same models presented in Table 2, but with the inclusion of temporal controls.)
. 
. 
. *Table 2, Model 1
. probit lift fraction_reported tradechange_div c.fraction_reported#c.tradechange_div tradedep multiissue multisender s2un jointigo cinct_s newsupport_s t t2 t3, robust cluster(targetstate)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380.71559}  
Iteration 1:{space 3}log pseudolikelihood = {res:-362.50651}  
Iteration 2:{space 3}log pseudolikelihood = {res:-361.56723}  
Iteration 3:{space 3}log pseudolikelihood = {res:-361.56365}  
Iteration 4:{space 3}log pseudolikelihood = {res:-361.56365}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     1,015
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     34.57
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0010
{txt}Log pseudolikelihood = {res}-361.56365{txt}{col 49}Pseudo R2{col 67}= {res}    0.0503

{txt}{ralign 103:(Std. Err. adjusted for {res:72} clusters in targetstate)}
{hline 38}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 39}{c |}{col 51}    Robust
{col 1}                                 lift{col 39}{c |}      Coef.{col 51}   Std. Err.{col 63}      z{col 71}   P>|z|{col 79}     [95% Con{col 92}f. Interval]
{hline 38}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}fraction_reported {c |}{col 39}{res}{space 2} .6242244{col 51}{space 2} .2773251{col 62}{space 1}    2.25{col 71}{space 3}0.024{col 79}{space 4} .0806771{col 92}{space 3} 1.167772
{txt}{space 22}tradechange_div {c |}{col 39}{res}{space 2} .1766226{col 51}{space 2} .0561315{col 62}{space 1}    3.15{col 71}{space 3}0.002{col 79}{space 4} .0666069{col 92}{space 3} .2866383
{txt}{space 37} {c |}
c.fraction_reported#c.tradechange_div {c |}{col 39}{res}{space 2}-.2098516{col 51}{space 2}  .067113{col 62}{space 1}   -3.13{col 71}{space 3}0.002{col 79}{space 4}-.3413906{col 92}{space 3}-.0783125
{txt}{space 37} {c |}
{space 29}tradedep {c |}{col 39}{res}{space 2} -.004117{col 51}{space 2} .3294299{col 62}{space 1}   -0.01{col 71}{space 3}0.990{col 79}{space 4}-.6497877{col 92}{space 3} .6415536
{txt}{space 27}multiissue {c |}{col 39}{res}{space 2}-.3178142{col 51}{space 2} .1819631{col 62}{space 1}   -1.75{col 71}{space 3}0.081{col 79}{space 4}-.6744554{col 92}{space 3}  .038827
{txt}{space 26}multisender {c |}{col 39}{res}{space 2}-.0746549{col 51}{space 2} .1561116{col 62}{space 1}   -0.48{col 71}{space 3}0.632{col 79}{space 4} -.380628{col 92}{space 3} .2313182
{txt}{space 33}s2un {c |}{col 39}{res}{space 2} .0974362{col 51}{space 2} .1628632{col 62}{space 1}    0.60{col 71}{space 3}0.550{col 79}{space 4}-.2217697{col 92}{space 3} .4166422
{txt}{space 29}jointigo {c |}{col 39}{res}{space 2}-.0120682{col 51}{space 2} .0078562{col 62}{space 1}   -1.54{col 71}{space 3}0.125{col 79}{space 4} -.027466{col 92}{space 3} .0033296
{txt}{space 30}cinct_s {c |}{col 39}{res}{space 2} .3335754{col 51}{space 2} .3131731{col 62}{space 1}    1.07{col 71}{space 3}0.287{col 79}{space 4}-.2802327{col 92}{space 3} .9473835
{txt}{space 25}newsupport_s {c |}{col 39}{res}{space 2}-.0200957{col 51}{space 2}  .167669{col 62}{space 1}   -0.12{col 71}{space 3}0.905{col 79}{space 4}-.3487209{col 92}{space 3} .3085295
{txt}{space 36}t {c |}{col 39}{res}{space 2} .2187644{col 51}{space 2} .0648216{col 62}{space 1}    3.37{col 71}{space 3}0.001{col 79}{space 4} .0917164{col 92}{space 3} .3458123
{txt}{space 35}t2 {c |}{col 39}{res}{space 2}-.0155305{col 51}{space 2} .0042844{col 62}{space 1}   -3.62{col 71}{space 3}0.000{col 79}{space 4}-.0239277{col 92}{space 3}-.0071332
{txt}{space 35}t3 {c |}{col 39}{res}{space 2} .0002477{col 51}{space 2} .0000667{col 62}{space 1}    3.71{col 71}{space 3}0.000{col 79}{space 4} .0001169{col 92}{space 3} .0003785
{txt}{space 32}_cons {c |}{col 39}{res}{space 2}-1.564352{col 51}{space 2} .2987895{col 62}{space 1}   -5.24{col 71}{space 3}0.000{col 79}{space 4}-2.149969{col 92}{space 3}-.9787357
{txt}{hline 38}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *obtain AIC and BIC values
. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     1,015{col 27}-380.7156{col 38}-361.5636{col 49}    14{col 58} 751.1273{col 69} 820.0443
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. *Table 2, Model 2
. probit lift fraction_reported tradechange_div c.fraction_reported#c.tradechange_div tradedep multiissue multisender s2un jointigo cinct_s newsupport_s t t2 t3 if cost_s==0, robust cluster(targetstate)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-357.34232}  
Iteration 1:{space 3}log pseudolikelihood = {res: -333.2909}  
Iteration 2:{space 3}log pseudolikelihood = {res:-331.67837}  
Iteration 3:{space 3}log pseudolikelihood = {res:-331.66885}  
Iteration 4:{space 3}log pseudolikelihood = {res:-331.66885}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       942
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     51.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-331.66885{txt}{col 49}Pseudo R2{col 67}= {res}    0.0718

{txt}{ralign 103:(Std. Err. adjusted for {res:72} clusters in targetstate)}
{hline 38}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 39}{c |}{col 51}    Robust
{col 1}                                 lift{col 39}{c |}      Coef.{col 51}   Std. Err.{col 63}      z{col 71}   P>|z|{col 79}     [95% Con{col 92}f. Interval]
{hline 38}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}fraction_reported {c |}{col 39}{res}{space 2}  1.02321{col 51}{space 2} .3020567{col 62}{space 1}    3.39{col 71}{space 3}0.001{col 79}{space 4} .4311902{col 92}{space 3} 1.615231
{txt}{space 22}tradechange_div {c |}{col 39}{res}{space 2} .2620466{col 51}{space 2}  .058222{col 62}{space 1}    4.50{col 71}{space 3}0.000{col 79}{space 4} .1479335{col 92}{space 3} .3761597
{txt}{space 37} {c |}
c.fraction_reported#c.tradechange_div {c |}{col 39}{res}{space 2}-.3120867{col 51}{space 2} .0689704{col 62}{space 1}   -4.52{col 71}{space 3}0.000{col 79}{space 4}-.4472661{col 92}{space 3}-.1769072
{txt}{space 37} {c |}
{space 29}tradedep {c |}{col 39}{res}{space 2} .0196261{col 51}{space 2} .3685953{col 62}{space 1}    0.05{col 71}{space 3}0.958{col 79}{space 4}-.7028073{col 92}{space 3} .7420595
{txt}{space 27}multiissue {c |}{col 39}{res}{space 2}-.3580649{col 51}{space 2}  .191016{col 62}{space 1}   -1.87{col 71}{space 3}0.061{col 79}{space 4}-.7324493{col 92}{space 3} .0163195
{txt}{space 26}multisender {c |}{col 39}{res}{space 2}-.0432319{col 51}{space 2} .1582491{col 62}{space 1}   -0.27{col 71}{space 3}0.785{col 79}{space 4}-.3533943{col 92}{space 3} .2669306
{txt}{space 33}s2un {c |}{col 39}{res}{space 2} .3542723{col 51}{space 2} .1950896{col 62}{space 1}    1.82{col 71}{space 3}0.069{col 79}{space 4}-.0280963{col 92}{space 3}  .736641
{txt}{space 29}jointigo {c |}{col 39}{res}{space 2}-.0193755{col 51}{space 2}  .008486{col 62}{space 1}   -2.28{col 71}{space 3}0.022{col 79}{space 4}-.0360077{col 92}{space 3}-.0027434
{txt}{space 30}cinct_s {c |}{col 39}{res}{space 2} .5758844{col 51}{space 2} .3165238{col 62}{space 1}    1.82{col 71}{space 3}0.069{col 79}{space 4} -.044491{col 92}{space 3}  1.19626
{txt}{space 25}newsupport_s {c |}{col 39}{res}{space 2}-.0738666{col 51}{space 2} .1824886{col 62}{space 1}   -0.40{col 71}{space 3}0.686{col 79}{space 4}-.4315377{col 92}{space 3} .2838044
{txt}{space 36}t {c |}{col 39}{res}{space 2} .2793459{col 51}{space 2}  .068672{col 62}{space 1}    4.07{col 71}{space 3}0.000{col 79}{space 4} .1447513{col 92}{space 3} .4139406
{txt}{space 35}t2 {c |}{col 39}{res}{space 2}-.0189376{col 51}{space 2} .0043851{col 62}{space 1}   -4.32{col 71}{space 3}0.000{col 79}{space 4}-.0275322{col 92}{space 3} -.010343
{txt}{space 35}t3 {c |}{col 39}{res}{space 2} .0002985{col 51}{space 2} .0000673{col 62}{space 1}    4.43{col 71}{space 3}0.000{col 79}{space 4} .0001665{col 92}{space 3} .0004304
{txt}{space 32}_cons {c |}{col 39}{res}{space 2}-1.650195{col 51}{space 2} .3275871{col 62}{space 1}   -5.04{col 71}{space 3}0.000{col 79}{space 4}-2.292254{col 92}{space 3}-1.008136
{txt}{hline 38}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *obtain AIC and BIC values
. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       942{col 27}-357.3423{col 38}-331.6688{col 49}    14{col 58} 691.3377{col 69} 759.2098
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. *Figure 2: Marginal Effects of Information on the Probability of Sanctions Removal
. 
. *re-run Model 2 in Table 2
. probit lift fraction_reported tradechange_div c.fraction_reported#c.tradechange_div tradedep multiissue multisender s2un jointigo cinct_s newsupport_s t t2 t3 if cost_s==0, robust cluster(targetstate)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-357.34232}  
Iteration 1:{space 3}log pseudolikelihood = {res: -333.2909}  
Iteration 2:{space 3}log pseudolikelihood = {res:-331.67837}  
Iteration 3:{space 3}log pseudolikelihood = {res:-331.66885}  
Iteration 4:{space 3}log pseudolikelihood = {res:-331.66885}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       942
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     51.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-331.66885{txt}{col 49}Pseudo R2{col 67}= {res}    0.0718

{txt}{ralign 103:(Std. Err. adjusted for {res:72} clusters in targetstate)}
{hline 38}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 39}{c |}{col 51}    Robust
{col 1}                                 lift{col 39}{c |}      Coef.{col 51}   Std. Err.{col 63}      z{col 71}   P>|z|{col 79}     [95% Con{col 92}f. Interval]
{hline 38}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}fraction_reported {c |}{col 39}{res}{space 2}  1.02321{col 51}{space 2} .3020567{col 62}{space 1}    3.39{col 71}{space 3}0.001{col 79}{space 4} .4311902{col 92}{space 3} 1.615231
{txt}{space 22}tradechange_div {c |}{col 39}{res}{space 2} .2620466{col 51}{space 2}  .058222{col 62}{space 1}    4.50{col 71}{space 3}0.000{col 79}{space 4} .1479335{col 92}{space 3} .3761597
{txt}{space 37} {c |}
c.fraction_reported#c.tradechange_div {c |}{col 39}{res}{space 2}-.3120867{col 51}{space 2} .0689704{col 62}{space 1}   -4.52{col 71}{space 3}0.000{col 79}{space 4}-.4472661{col 92}{space 3}-.1769072
{txt}{space 37} {c |}
{space 29}tradedep {c |}{col 39}{res}{space 2} .0196261{col 51}{space 2} .3685953{col 62}{space 1}    0.05{col 71}{space 3}0.958{col 79}{space 4}-.7028073{col 92}{space 3} .7420595
{txt}{space 27}multiissue {c |}{col 39}{res}{space 2}-.3580649{col 51}{space 2}  .191016{col 62}{space 1}   -1.87{col 71}{space 3}0.061{col 79}{space 4}-.7324493{col 92}{space 3} .0163195
{txt}{space 26}multisender {c |}{col 39}{res}{space 2}-.0432319{col 51}{space 2} .1582491{col 62}{space 1}   -0.27{col 71}{space 3}0.785{col 79}{space 4}-.3533943{col 92}{space 3} .2669306
{txt}{space 33}s2un {c |}{col 39}{res}{space 2} .3542723{col 51}{space 2} .1950896{col 62}{space 1}    1.82{col 71}{space 3}0.069{col 79}{space 4}-.0280963{col 92}{space 3}  .736641
{txt}{space 29}jointigo {c |}{col 39}{res}{space 2}-.0193755{col 51}{space 2}  .008486{col 62}{space 1}   -2.28{col 71}{space 3}0.022{col 79}{space 4}-.0360077{col 92}{space 3}-.0027434
{txt}{space 30}cinct_s {c |}{col 39}{res}{space 2} .5758844{col 51}{space 2} .3165238{col 62}{space 1}    1.82{col 71}{space 3}0.069{col 79}{space 4} -.044491{col 92}{space 3}  1.19626
{txt}{space 25}newsupport_s {c |}{col 39}{res}{space 2}-.0738666{col 51}{space 2} .1824886{col 62}{space 1}   -0.40{col 71}{space 3}0.686{col 79}{space 4}-.4315377{col 92}{space 3} .2838044
{txt}{space 36}t {c |}{col 39}{res}{space 2} .2793459{col 51}{space 2}  .068672{col 62}{space 1}    4.07{col 71}{space 3}0.000{col 79}{space 4} .1447513{col 92}{space 3} .4139406
{txt}{space 35}t2 {c |}{col 39}{res}{space 2}-.0189376{col 51}{space 2} .0043851{col 62}{space 1}   -4.32{col 71}{space 3}0.000{col 79}{space 4}-.0275322{col 92}{space 3} -.010343
{txt}{space 35}t3 {c |}{col 39}{res}{space 2} .0002985{col 51}{space 2} .0000673{col 62}{space 1}    4.43{col 71}{space 3}0.000{col 79}{space 4} .0001665{col 92}{space 3} .0004304
{txt}{space 32}_cons {c |}{col 39}{res}{space 2}-1.650195{col 51}{space 2} .3275871{col 62}{space 1}   -5.04{col 71}{space 3}0.000{col 79}{space 4}-2.292254{col 92}{space 3}-1.008136
{txt}{hline 38}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. preserve
{txt}
{com}. 
. set seed 339487731
{txt}
{com}. 
. drawnorm SN_b1-SN_b14, n(10000) means(e(b)) cov(e(V)) clear
{txt}(obs 10,000)

{com}. 
. *     ****************************************************************  *;
. *       To calculate the desired quantities of interest we need to set  *;
. *       up a loop.                                                      *;
. *     ****************************************************************  *;
. *       First, specify what you quantities should be saved and what     *;
. *       these quantities should be called.                              *;
. *     ****************************************************************  *;
. 
. 
. 
. postutil clear
{txt}
{com}. 
. 
. *Change the filepath/ working directory first.
. postfile mypost prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi using "/Users/menevisc/Dropbox/Sanctions Removal Revisions_FPA/data for R&R/sim.dta", replace
{txt}
{com}.             
. noisily display "start"
{res}start
{txt}
{com}.             
. *     ****************************************************************  *;
. *       Start loop.  Let `a' be the modifying variable Z and let this   *;
. *       run from min to max in the desired increments.                  *;
. *     ****************************************************************  *; 
. 
. 
. local a= -9
{txt}
{com}. while `a' <= 63 {c -(} 
{txt}  2{com}. 
. {c -(}
{txt}  3{com}. 
. 
. scalar h_fraction_reported= .7641381
{txt}  4{com}. scalar h_tradechange_div=  4.336609
{txt}  5{com}. scalar h_tradedep= .2509018 
{txt}  6{com}. scalar h_multiissue= .2529412
{txt}  7{com}. scalar h_multisender= .2411765
{txt}  8{com}. scalar h_s2un= -.3734418
{txt}  9{com}. scalar h_jointigo= 39.59134
{txt} 10{com}. scalar h_newsupport_s= .3838235
{txt} 11{com}. scalar h_cinct_s= .0930126
{txt} 12{com}. scalar h_t= 6.166912
{txt} 13{com}. scalar h_t2= 85.90074
{txt} 14{com}. scalar h_t3= 2076.551
{txt} 15{com}. scalar h_constant=1
{txt} 16{com}. 
. generate x_betahat0  = SN_b1*h_fraction_reported + SN_b2*`a' + SN_b3*h_fraction_reported*`a' + SN_b4*h_tradedep + SN_b5*h_multiissue + SN_b6*h_multisender + SN_b7*h_s2un + SN_b8*h_jointigo +SN_b9*h_newsupport_s+ SN_b10*h_cinct_s+ SN_b11*h_t+ SN_b12*h_t2 + SN_b13*h_t3 + SN_b14*h_constant 
{txt} 17{com}.                             
. generate x_betahat1  = SN_b1*(h_fraction_reported+ .277676) + SN_b2*`a' + SN_b3*(h_fraction_reported+ .277676)*(`a') + SN_b4*(h_tradedep) + SN_b5*(h_multiissue) + SN_b6*(h_multisender) + SN_b7*(h_s2un) +SN_b8*(h_jointigo) + SN_b9*(h_newsupport_s) + SN_b10*(h_cinct_s) +SN_b11*(h_t)+SN_b12*(h_t2) +SN_b13*(h_t3) +SN_b14*(h_constant)
{txt} 18{com}.         
.         
.     gen prob0 =normal(x_betahat0)
{txt} 19{com}.     gen prob1=normal(x_betahat1)
{txt} 20{com}.     gen diff=prob1-prob0
{txt} 21{com}.     
.     egen probhat0 =mean(prob0)
{txt} 22{com}.     egen probhat1=mean(prob1)
{txt} 23{com}.     egen diffhat=mean(diff)
{txt} 24{com}.     
.     tempname prob_hat0 lo0 hi0 prob_hat1 lo1 hi1 diff_hat diff_lo diff_hi
{txt} 25{com}. 
.     _pctile prob0, p(5,95)
{txt} 26{com}.     scalar `lo0' = r(r1)
{txt} 27{com}.     scalar `hi0' = r(r2) 
{txt} 28{com}.     
.     _pctile prob1, p(5,95)
{txt} 29{com}.     scalar `lo1'= r(r1)
{txt} 30{com}.     scalar `hi1'= r(r2) 
{txt} 31{com}.     
.     _pctile diff, p(5,95)
{txt} 32{com}.     scalar `diff_lo'= r(r1)
{txt} 33{com}.     scalar `diff_hi'= r(r2) 
{txt} 34{com}.    
.     scalar `prob_hat0'=probhat0
{txt} 35{com}.     scalar `prob_hat1'=probhat1
{txt} 36{com}.     scalar `diff_hat'=diffhat
{txt} 37{com}.     
.     post mypost (`prob_hat0') (`lo0') (`hi0') (`prob_hat1') (`lo1') (`hi1') (`diff_hat') (`diff_lo') (`diff_hi')
{txt} 38{com}.    
.     {c )-}
{txt} 39{com}. 
.         drop x_betahat0 x_betahat1 prob0 prob1 diff probhat0 probhat1 diffhat
{txt} 40{com}.     
.     local a=`a'+1
{txt} 41{com}.    
.     display "." _c
{txt} 42{com}.     
. {c )-} 
.........................................................................{txt}
{com}. 
. display ""
{res}
{txt}
{com}. 
. postclose mypost
{txt}
{com}. 
. *     ****************************************************************  *;                                  
. *       Call on posted quantities of interest                           *;
. *     ****************************************************************  *;
. 
. restore
{txt}
{com}. 
. *Change the filepath/ working directory
. merge using "/Users/menevisc/Dropbox/Sanctions Removal Revisions_FPA/data for R&R/sim.dta"
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}

{com}. 
. 
. gen yline=0
{txt}
{com}. 
. gen MV = (_n-9)
{txt}
{com}. 
. replace  MV=. if _n>70
{txt}(1,779 real changes made, 1,779 to missing)

{com}. 
. gen where=-0.955
{txt}
{com}. gen pipe = "|";
{txt}
{com}. 
.                         
. *rug plot embedded in the figure
.                         
.                         graph twoway scatter where tradechange_div if cost_s==0, plotr(m(b 4)) ms(none) mlabcolor(gs5) mlabel(pipe) mlabpos(6) legend(off) ///
>         ||  line diff_hat MV, clwidth(medium) clcolor(blue) clcolor(black) ///
>         ||  line diff_lo MV, clpattern(dash) clwidth(thin) clcolor(black) ///
>         ||  line diff_hi MV, clpattern(dash) clwidth(thin) clcolor(black) ///
>         ||  line yline MV,  clwidth(thin) clcolor(black) clpattern(solid) ///
>         ||  , ///
>             xlabel(-10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60, nogrid labsize(2)) ///
>             ylabel(-.9 -.8 -.7 -.6 -.5 -.4 -.3 -.2 -.1 0 .1 .2 .3 .4, axis(1) nogrid labsize(2)) ///
>             yscale(line) xscale(line) legend(off) ///
>             yline(0, lcolor(black)) ///
>             yline(.1 .3 .5 .7, lcolor(white)) ///
>             xtitle("{c -(}&Delta{c )-} in Target's Trade Volume", size(2.5)) ///
>             ytitle("Marginal Effect of 'Information'", size(2.5)) ///
>             xsca(titlegap(4)) ysca(titlegap(4)) ///
>             scheme(s2mono) graphregion(fcolor(white) ilcolor(white) lcolor(white))
{res}{txt}
{com}. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/menevisc/Dropbox/Sanctions Removal Revisions_FPA/data for R&R/Cilizoglu_FPA_logfile.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}23 Sep 2022, 10:40:56
{txt}{.-}
{smcl}
{txt}{sf}{ul off}